Senior Engineer, Data Engineering

SES Global Technology Services; Chennai District; Hybrid; INR 5,000,000 - 7,000,000; Full time

Job summary

SES Global Technology Services is seeking a Senior Data Platform Engineer to design, implement, and operate data solutions on the Unified Data Platform, collaborating across data engineers, BI developers, and analysts.

You will leverage Databricks, DBT, Spark, Python, and SQL to ingest, transform, and govern large datasets while ensuring scalable CI/CD with Jenkins and strong technical documentation.

Qualifications

• Bachelors degree in CS/CE/IS or related field.
• 6+ years data processing experience; 3+ years cloud services & data streaming.
• Experience with large-scale data lake/warehouse in cloud environments.
• Expertise building data lakes/warehouses in Databricks with DBT, Spark, Python & SQL.
• CI/CD experience (Jenkins).
• Proficient in data analysis and writing complex SQL queries.
• Strong communication and technical documentation skills.

Responsibilities

• Design, implement and support data solutions on the Unified Data Platform.
• Collaborate with Data Engineers, QA, BI Developers, and Analysts.
• Develop scalable data architectures for ingestion and integration.
• Identify risks and decisions to enable best practices in delivery.
• Create and maintain design docs, demos, and presentations.

Skills

Data processing experience

Communication skills

SQL queries

CI/CD

Data analysis

Education

Bachelor's degree in CS/CE/IS

Tools

Databricks

DBT

Spark

Python

Jenkins

Job description

PRIMARY RESPONSIBILITIES / KEY RESULT AREAS

• Utilize a rigorous design methodology that consistently yields the right level of technical design documentation and develop technical solutions that conform both to customer requirements and information development standards.
• Building value-creating and innovative data solutions.
• Use a vast amount of programming tools to design new data solutions to ingest and integrate data into Unified Data Platform.
• Understand various requirement gathering and specification methodologies and can recommend one appropriate to a project.
• Designing, Implementing, and supporting a platform that can provide access to large datasets.
• Work as equals with Data Engineers, Quality Engineers, BI Developers and Business Analysts to establish optimal design/development/delivery which properly serves technical teams and our user community. Identify risks, tradeoffs, and investment decisions to facilitate best practices.

QUALIFICATIONS & EXPERIENCE

• Bachelors degree in Computer Science, Computer Engineering, Information Systems, or related technology.
• Minimum of 6 years of relevant data processing experience; 3+ years utilizing cloud-based services and data streaming.
• Experience with large scale data lake and data warehouse implementations in cloud environments.
• Expertise building data lakes and data warehouses in Databricks using DBT, Spark Declarative Pipelines, Python and SQL.
• Experience with Continuous Integration & Continuous Delivery (Jenkins)
• Experience in data analysis and writing and developing complex queries using SQL.
• Strong communication skills including technical documentation, development and delivery of demonstrations and presentations and the ability to listen and communicate effectively with functional leaders.